Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6234A726332B8A843DB91DEF7382E46B2D29899F9C74590F5C9568D23C3C816187BF4 |
|
CONTENT
ssdeep
|
768:arsg+EsZx8/G8eIRF4eCDawRtMLBCsowRyMLBCskwZUcix+y9dQpUDF1E56ITmHS:aT+EsZ/8eCOzDawTMLBiwcMLBywZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb9391b995c5c1c1 |
|
VISUAL
aHash
|
8f85818181818181 |
|
VISUAL
dHash
|
1969496959456549 |
|
VISUAL
wHash
|
ff85fd91818181b9 |
|
VISUAL
colorHash
|
3a200038000 |
|
VISUAL
cropResistant
|
1969496959456549,58ac8ca898c2a4ca |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.